Gen Ai Engineer

Carat Australia

Pune, India
Hybrid
Llm-powered applications
Rag pipelines
Agentic ai workflows
Design, develop, and fine-tune LLM-powered applications for enterprise use cases

Job Summary

  • Design, develop, and fine-tune LLM-powered applications for enterprise use cases.
  • Implement RAG pipelines using vector databases, embeddings, and optimized retrieval strategies.
  • Integrate GenAI solutions into multi-cloud or hybrid cloud environments (AWS, Azure, GCP).

Matching Summary

Design, develop, and fine-tune LLM-powered applications for enterprise use cases.

Skills & Requirements

Must-have

  • LLM-powered applications
  • RAG pipelines
  • Agentic AI workflows
  • Cloud AI services
  • Python and LLM frameworks
  • Vector databases
  • Edge AI frameworks

Nice-to-have

  • Generative agents with memory
  • Real-time AI streaming
  • Open-source GenAI contributions
  • ML model deployment
  • MCP, A2A protocol

Key Requirements

  • Experience in evaluating LLM applications
  • Experience building RAG-based and agentic AI solutions
  • Familiarity with Edge AI frameworks
  • Multi-modal AI experience
  • Strong grasp of APIs, microservices
  • Knowledge of AI governance
  • Experience in containerized deployments

Work Rights

Not specified

Tailored Resume

Cover Letter